Trends of primary and secondary pollutant concentrations in Finland in 1994–2007

Anttila, Pia; Tuovinen, Juha‐Pekka

doi:10.1016/j.atmosenv.2009.09.041

Cited by 80 publications

(38 citation statements)

References 25 publications

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“…To evaluate prolonged exposure to particulate matter air pollution, long-term information on airborne particulate matter trends and variability is necessary. In fact, PM 10 and PM 2.5 measurements have been conducted in diverse environments since the 1980s (Rodes and Evans 1985) in Europe and North America (Darlington et al 1997;Hueglin et al 2005;Querol et al 2008;Pateraki et al 2010;Anttila and Tuovinen 2010;Barmpadimos et al 2011). In China, PM 10 and PM 2.5 monitoring was mainly started at the end of the twentieth century, and most of these studies focused on the chemical compositions, including elemental constituents, major inorganic ions, and organic compounds (He et al 2001;Ye et al 2003;Guo et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Liu

Wang

et al. 2014

Environ Sci Pollut Res

210

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Air pollution has become a top environmental concern in China. In the present study, 9 years of PM10 and PM2.5 data from an urban monitoring station in Beijing was analyzed relative to other gaseous pollutants and several meteorological parameters. The levels and characteristics of particulate matters as well as the sources and factors affecting them were provided in the present study. During the 9-year observation period, PM10 and PM2.5 showed high levels, with annual mean values of 138.5 ± 92.9 and 72.3 ± 54.4 μg/m(3), respectively. Slight decreasing trends of annual mean PM10 and PM2.5 were observed; autumn was the main season that contributed to the decrease in annual mean PM10 and PM2.5. Higher values for both PM fractions were generally observed in the spring and summer months, respectively, whereas lower values were found in the summer and spring months, respectively. Pronounced diurnal variations were found for PM10 and PM2.5, which both displayed a bimodal pattern with peaks between 7:00 and 8:00 a.m. as well as 7:00 and 11:00 p.m.; a minimum generally appeared at approximately noon. The seasonal and diurnal variations in particulate concentration are mostly dominated by the seasonal and diurnal variability of boundary layer and source emissions. A principal components analysis revealed that both the traffic-related emissions and combustion sources were major contributions to the particles; their contributions ranged between 35.5-75.1%. Furthermore, a directional analysis shows a stronger association between particles and the southerly winds, the PM derived from sources south of Beijing, most likely secondary PM, significantly affects concentrations at the sampling site. To improve air quality in Beijing, mitigation measures including phasing out high energy-consuming industries and prioritize the use of clean energy sources should be designed to reduce emissions from both local and regional sources.

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Section: Introductionmentioning

confidence: 99%

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Liu

Wang

et al. 2014

Environ Sci Pollut Res

210

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“…The general decreasing trend of −5.2 per year in SO 2 concentrations is observed in Hyytiälä measurements . A general decreasing trend of −2.2 % yr −1 (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006) of SO 2 emissions in Finland has been estimated by Anttila and Tuovinen (2010).…”

Section: Transport Climatology Of Aerosol Particles Of Different Sizementioning

confidence: 99%

Trajectory analysis of atmospheric transport of fine particles, SO2, NOx and O3 to the SMEAR II station in Finland in 1996–2008

et al. 2013

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Abstract. Trajectory statistical methods that combine in situ measurements of trace gas or particle concentrations and back trajectories calculated for corresponding times have proven to be a valuable approach in atmospheric research; especially in investigating air pollution episodes, but also in e.g. tracing the air mass history related to high vs. low concentrations of aerosol particles of different sizes at the receptor site. A concentration field method was fine-tuned to take the presumable horizontal error in calculated trajectories into account, tested with SO2 and validated by comparison against EMEP (European Monitoring and Evaluation Programme) emission data. In this work we apply the improved method for characterizing the transport of atmospheric SO2, NOx, O3 and aerosol particles of different size modes to a Finnish measurement station located in Hyytiälä (61°51' N, 24°17' E). Our method did not reproduce the EMEP emission soures, but proved useful for qualitative analysis on where the measured compounds come from, from one measurement station point of view. We applied it to study trends and seasonal variation in atmospheric pollutant transport during 13 yr at the SMEAR II (Station for Measuring Ecosystem-Atmosphere Interactions) station.

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“…However, the European Union air quality limit values were only exceeded at one monitoring station for all of the years considered. More recently, Anttila and Tuovinen (2010) evaluated the trends in the atmospheric concentrations of the main gaseous and particulate pollutants 100 in Finland for the period of 1994-2007, based on measured data at both regional background and urban stations. They found that the concentrations of SO2, CO and NOx declined considerably during the considered period, whereas the concentrations of O3 increased in the urban data.…”

mentioning

confidence: 99%

Modelling of the urban concentrations of PM2.5 on a high resolution for a period of 35 years, for the assessment of lifetime exposure and health effects

Kukkonen¹,

Kangas²,

Kauhaniemi³

et al. 2018

Preprint

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Abstract. Reliable and self-consistent data on air quality is needed for an extensive period of time 5 for conducting long-term, or even lifetime health impact assessments. We have modelled the urban scale concentrations of fine particulate matter (PM2.5) in the Helsinki Metropolitan Area for a period of 35 years, from 1980 to 2014. These high resolution computations included both the emissions originated from vehicular traffic (separately exhaust and suspension emissions) and those from smallscale combustion, and were conducted using the road network dispersion model CAR-FMI and the 10 multiple source Gaussian dispersion model UDM-FMI. The regional background concentrations were evaluated based on reanalyses of the atmospheric composition on global and European scales, using the SILAM model. The modelled concentrations of PM2.5 agreed fairly well or well with the measured data at a regional background station and at four urban measurement stations, during 1999 -2014. There was no systematic deterioration of the agreement of predictions and data for earlier years (the trend of the PM2.5 concentrations during the last decade. Regional background is the largest contribution in this area. Vehicular exhaust has been the most important local source, but the relative shares of both small-scale combustion and vehicular suspension emissions have increased. The study provides long-term, high-resolution concentration databases on regional and urban scales that have been used for the assessment of health effects. 25Atmos. Chem. Phys. Discuss., https://doi

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Trends of primary and secondary pollutant concentrations in Finland in 1994–2007

Cited by 80 publications

References 25 publications

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Trajectory analysis of atmospheric transport of fine particles, SO<sub>2</sub>, NO<sub>x</sub> and O<sub>3</sub> to the SMEAR II station in Finland in 1996–2008

Modelling of the urban concentrations of PM<sub>2.5</sub> on a high resolution for a period of 35 years, for the assessment of lifetime exposure and health effects

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Trends of primary and secondary pollutant concentrations in Finland in 1994–2007

Cited by 80 publications

References 25 publications

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Trajectory analysis of atmospheric transport of fine particles, SO&lt;sub&gt;2&lt;/sub&gt;, NO&lt;sub&gt;x&lt;/sub&gt; and O&lt;sub&gt;3&lt;/sub&gt; to the SMEAR II station in Finland in 1996–2008

Modelling of the urban concentrations of PM&lt;sub&gt;2.5&lt;/sub&gt; on a high resolution for a period of 35 years, for the assessment of lifetime exposure and health effects

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Product

Resources

About

Trajectory analysis of atmospheric transport of fine particles, SO<sub>2</sub>, NO<sub>x</sub> and O<sub>3</sub> to the SMEAR II station in Finland in 1996–2008

Modelling of the urban concentrations of PM<sub>2.5</sub> on a high resolution for a period of 35 years, for the assessment of lifetime exposure and health effects